Metamaterials
lenovo
2023-05-23
Papers
Main Topic
1003
Totimorphic assemblies from neutrally stable units
The Extreme Mechanics of Viscoelastic
Metamaterials
Responsive materials architected in space and time
Additively manufacturable micro-mechanical logic gates
Homogenization Theory of Space-Time Metamaterials
Micro-Scale Auxetic Hierarchical Mechanical Metamaterials for Shape Morphing
Machine Learning for Advanced Additive Manufacturing
Generative machine learning algorithm for lattice structures with superior mechanical properties
3D printable strain rate-dependent machine-matter
Knowledge extraction and transfer in data-driven fracture mechanics
Inverse Design of Mechanical Metamaterials That Undergo Buckling
Pattern transformation induced waisted post-buckling of perforated cylindrical shells
Soft Robotics in Healthcare: Challenges in Design and Control
Tunable thermally bistable multi-material structure
Inverse design strategies for buckling-guided assembly of 3D surfaces based on topology optimization
Controlling Malleability of Metamaterials through Programmable Memory
Design of mechanical metamaterial for energy absorption using a beam with a variable cross-section
Triclinic metamaterials by tristable origami with reprogrammable
frustration
Inverse machine learning framework for optimizing lightweight
metamaterials
Magnetorheological Fluid-Based Flow
Control for Soft Robots
Video
Physics informs machine learning for
crack-free printing of metals
Crack free metal printing using physics informed machine learning
Triclinic Metamaterials by Tristable Origami with Reprogrammable Frustration
Rational design of piezoelectric metamaterials with tailored electro-momentum coupling
In-plane elasticity of beetle elytra inspired sandwich cores
Bistable and Multistable Actuators for Soft Robots: Structures, Materials, and Functionalities
A mechanical metamaterial with reprogrammable logical functions
A fluidic relaxation oscillator for
reprogrammable sequential actuation in
soft robots
Growth rules for irregular architected
materials with programmable properties
Predicting deformation mechanisms in architected metamaterials using GNN
Sequential metamaterials with alternating Poisson’s ratios
Machine learning-based inverse design of auxetic metamaterial with zero Poisson's ratio
Analysis and Optimisation of Periodic Piezoelectric Materials
Inverse Design of Mechanical Metamaterials with Target Nonlinear Response via a Neural Accelerated Evolution Strategy
Inverse Design of Inflatable Soft Membranes Through Machine Learning
The shell microstructure of the pteropod Creseis acicula is composed of nested arrays of S-shaped aragonite fibers: A unique biological material
Machine Learning-Evolutionary Algorithm
Enabled Design for 4D-Printed Active
Composite Structures
Combining advanced 3D printing technologies with origami principles: A new paradigm for the design of functional, durable, and scalable springs
Conformal elasticity of mechanism-based metamaterials
Anisotropic compression behaviors of bio-inspired modified body-centered cubic lattices validated by additive manufacturing
Multi-objective structural optimisation of piezoelectric materials
Multi-material topology optimization and additive manufacturing for metamaterials incorporating double negative indexes of Poisson’s ratio and thermal expansion
Pattern transformation induced waisted post-buckling of perforated cylindrical shells
Machine learning assisted investigation of defect influence on the mechanical properties of additively manufactured architected materials
Deep Learning-Accelerated Designs of Tunable Magneto-Mechanical Metamaterials
ML+Design+Manufacture
Programmable/Tunable Design
magnetorheological (MR)fluid valve
control the pressure pressure within a
continuous-flowfluidic actuator is
introduced.
ML optimizing
actuation methods
such as shape-memoryalloys,
[7,8]dielectric elastomers,
[9]ionicpolymers,[10,11]and hydrogel-
based actua-tors,[1
Research Method
Refer
[18]Soft Poly-Limbs: Toward a New
Paradigm of Mobile
Manipulation for Daily Living Tasks
Softrobo+Motion control+dielectric
elastomer actuators
Motion Control of a Soft Circular Crawling
Robot via Iterative
Learning Control∗
As an actuation technology of soft robots,
dielectric elastomer actuators (DEAs)
exhibit many fantastic
attributes such as large strain and high energy density.
Ferroelectricity+AM
A 3D-printed molecular ferroelectric
metamaterial
Ferro
Ferroelectricity/https://www.britannica.com/science/ferroelectricity
What is the difference between dielectric and ferroelectric?
https://www.researchgate.net/post/What_are_the_differences_between_insulator_dielectrics_and_paraelectrics
ferroelectric and piezoelectric(direct piezoelectric effect/inverse piezoelectric effect)?
Piezoelectricity is a property of certain dielectric materials to physically deform in the presence of an electric
field, or conversely, to produce an electrical charge when mechanically deformed.
ferroelectricity, property of certain nonconducting crystals, or dielectrics, that exhibit spontaneous electric
polarization (separation of the centre of positive and negative electric charge, making one side of the crystal
positive and the opposite side negative) that can be reversed in direction by the application of an
appropriate electric field.
https://www.nrel.gov/materials-science/piezoelectric-ferroelectric-materials.html
Optimization of piezoelectric
metamaterials
# Multi-objective structural optimisation of
piezoelectric materials
Piezoelectric Materials
Ferro Intro
AM
Kirigami auxetic structure for high efficiency power harvesting in self-powered and wireless structural health monitoring systems
A Highly Multi-Stable Meta-Structure via Anisotropy for Large and Reversible Shape Transformation
Reprogrammable Mechanical Metamaterials with Heterogeneous Assembly of Soft Shell-
Based Voxels
1215
I strongly recommend all of you to watch this great presentation for designing lightweight
structures
https://www.youtube.com/watch?v=xh6UNYjjjUA
Dear All,
This is a very great presentation that I strongly recommend all of you that are learning about the field of
architected materials listen
twice
:
https://www.youtube.com/watch?v=TV6352ss2EY
Regards,
Learning the nonlinear dynamics of mechanical metamaterials with graph
networks
Phonon Engineering of Micro- and Nanophononic Crystals and Acoustic Metamaterials: A
Review
Tailoring Structure-Borne Sound through Bandgap Engineering in Phononic Crystals and Metamaterials: A Comprehensive
Review
Analysis and optimisation of periodic piezoelectric materials
the unique nonlinear dynamics of certain types of soft mechanical
metamaterials. However, capturing the nonlinear dynamic response of these
materials especially those with complex geometries, can be a challenge due
to the strong nonlinearity and large computational cost. An efficient and
reliable framework to predict the overall response of the metamaterials
based on the geometry of their building blocks is not only key to
understanding the unique behavior of metamaterials, but also vital to the
rational design of such materials.
metamaterial graph network
lattice-like metamaterial structure. The
Active mechanical metamaterial with embedded piezoelectric actuation
Harnessing Interpretable Machine Learning for Holistic Inverse Design of
Origami
A Review on Origami Simulations: From Kinematics, To Mechanics, Toward
Multiphysics
Engineering by Cuts: How Kirigami Principle Enables Unique Mechanical Properties and
Functionalities
A book
Compliant Mechanisms
Rigidly Foldable Origami Twists
Inverse design of shell-based mechanical metamaterial with customized loading curves based on machine learning and genetic
algorithm
Programming Multistable Metamaterials to Discover Latent Functionalities
Shape-morphing structures based on perforated kirigami
Inverse design of shell-based mechanical metamaterial with customized loading curves based on machine learning and
genetic algorithm
Mechanics and design of topologically interlocked irregular quadrilateral tessellations
Extraordinary Disordered Hyperuniform Multifunctional Composites
Generative design, manufacturing, and molecular modeling of 3D architected materials based on natural language
input
A Highly Multi-Stable Meta-Structure via Anisotropy for Large and Reversible Shape
Transformation
A graded metamaterial for broadband and high-capability piezoelectric energy harvesting
3D Auxetic Metamaterials with Elastically-Stable Continuous Phase
Transition
Dispersion relation prediction and
structure inverse design of elastic
metamaterials via deep learning
Magneto-Thermomechanically
Reprogrammable Mechanical
Metamaterials
0118
Electromagnetic Reconfiguration Using Stretchable Mechanical Metamaterials
To enable the required conductor
deformation in such applications, a variety
of approaches have been proposed.[18]
Wearable electronics rely predominantly
on flexible fabrics coated with thin
conductive films[1, 3, 19] or soft polymeric
membranes with embedded conductive
particles.[20-22] While achieving large
dimensional changes of the conductive
surface (as high as 1000%[22]), this
approach sacrifices mechanical properties
and cannot be scaled to structural
applications. In another technique,
electromagnetic metamaterials composed
of periodic arrays of radiating elements
placed on the rigid facets of foldable
origami and kirigami[23, 24] or substrates
with embedded compliant
mechanisms[25-27] enable
reconfiguration of communications
antennas, filters, and even optical
properties. The metamaterials in these
examples provide mechanical support for
conductors that solely undergo rigid body
motion. At a larger scale, antenna
reconfiguration for communications and
radar applications relies on rigid
engineering mechanisms,[5, 11-13, 28]
smart materials,[8, 10] or origami
techniques.[14, 15] Once again,
a trade-
off between conductor flexibility,
mechanical performance, and the
physical scale of the system is
observed.
Consequently, the range of
applicability of the various techniques is
limited.
beyond rigid body motion and is scalable
compared to flexible conductors
integrated into elastomeric substrates.
Snap-fit mechanical metamaterials
The snap-fit mechanical metamaterials (SMMs) that can be used for repeated energy absorption is proposed.
子主题
Magneto-Thermomechanically
Reprogrammable Mechanical
Metamaterials
Role of topology in dictating the fracture
toughness of mechanical metamaterials
Slow kinks in dissipative kirigami
Complex Ordered Patterns in Mechanical Instability Induced Geometrically
Frustrated Triangular Cellular Structures
Dear Benyamin, Sobhan, Jiaoran, Haoyu,
and Youjian,
Please read the following article in detail
and be sure you can implement similar
study for your research:
Topological invariant and anomalous edge
modes of strongly nonlinear systems
Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active
Learning
Elastic anisotropy and wave propagation properties of multifunctional hollow sphere foams
0215
Machine learning assisted
metamaterial‑based reconfgurable
antenna for low‑cost portable
electronic devices
Self
3D Programmable Metamaterials Based
on Reconfigurable Mechanism Modules
Antenna
inverse design/reconfigrable
3D Printed Fractal Metamaterials with
Tunable Mechanical Properties and
Shape Reconfiguration
Electromagnetic Reconfiguration Using
Stretchable Mechanical Metamaterials
A few paper on cellular materials to read
Impact Resistance of 3D Cellular
Structures for Protective Clothing
Multiscale Optimization of 3D-Printed
Beam-Based Lattice Structures through
Elastically Tailored Unit Cells
Anisotropic Metallic Microlattice
Structures for Underwater Operations
3D Printed Graphene-Based
Metamaterials: Guesting Multi-
Functionality in One Gain
Advanced functional materials with fascinating properties and extended structural design have
greatly broadened their applications. Metamaterials, exhibiting unprecedented physical
properties (mechanical, electromagnetic, acoustic, etc.), are considered frontiers of physics,
material science, and engineering. With the emerging 3D printing technology, the
manufacturing of metamaterials becomes much more convenient. Graphene, due to its
superior properties such as large surface area, superior electrical/thermal conductivity, and
outstanding mechanical properties, shows promising applications to add multi-functionality into
existing metamaterials for various applications. In this review, the aim is to outline the latest
developments and applications of 3D printed graphene-based metamaterials. The structure
design of different types of metamaterials and the fabrication strategies for 3D printed
graphene-based materials are first reviewed. Then the representative explorations of 3D
printed graphene-based metamaterials and multi-functionality that can be introduced with such
a combination are further discussed. Subsequently, challenges and opportunities are provided,
seeking to point out future directions of 3D printed graphene-based metamaterials.
Review
The abstract of the paper "3D Printed Graphene-Based Metamaterials: Guesting Multi-Functionality in One Gain" suggests that the paper explores
the creation and properties of a new type of material, specifically a metamaterial, which is made from graphene using 3D printing technology.
Metamaterials are artificially engineered materials that can exhibit unusual physical properties not found in naturally occurring materials. The
paper's focus on using graphene as a building block for these metamaterials is significant because graphene is known for its unique electrical,
thermal, and mechanical properties.
The phrase "guesting multi-functionality in one gain" in the title refers to the idea of incorporating multiple functionalities within the metamaterial
structure. The authors of the paper suggest that this can be achieved by introducing guest materials within the graphene-based metamaterial
structure.
Overall, the abstract suggests that the paper presents an innovative and potentially important approach to designing and manufacturing advanced
materials with unique properties. By using 3D printing and graphene, the researchers aim to create metamaterials that are capable of multiple
functions, which could have applications in various fields, such as electronics, energy storage, and medical devices.
ferroelectric metamaterials
Tunable ferroelectric auxetic
metamaterials for guiding elastic waves in
three-dimensions
Metamaterials are artificial material systems that can be designed for extraordinary static and dynamic
properties, such as negative effective Poisson’s ratio, mass density, or Young’s modulus [1], [2].
Metamaterials have been proposed for numerous applications in controlling sound, vibrations, and heat.
Such applications range from wave guiding, cloaking, thermal diodes, energy transfer optimization to
acoustic rectifiers [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17]. Traditionally,
metamaterials designs are fixed, i.e., once fabricated, their effective properties cannot be changed.
However, a growing trend in metamaterials’ research is utilizing dynamically tunable designs, thus
opening the door for more potential applications and functional integration in devices. Tunability can be
achieved through a variety of methods including mechanical (e.g., by considering application of external
loads) [18], [19], [20], [21], thermal (e.g., through shape memory effects [22]), electrical (e.g., from nano
[23] to macro-scale systems [24], [25], [26]), or magnetic [27], [28], [29] stimuli. While some studies of
tunable piezoelectric metamaterials have been reported in the literature [30], [31], [32], [33], [34], [35],
harnessing the effects of ferroelectric poling to tune metamaterials properties remains relatively
unexplored. Here, we discuss the interplay between different tuning avenues in a three-dimensional
metamaterial, namely poling effects and mechanical deformations.
0310
Programmable and multistable
metamaterials made of precisely tailored
bistable cells
子主题
This study proposes a systematic inverse design framework for constructing multistable mechanical
metamaterials with programmable gradients. Herein, we designed the tailored bistable cells with precisely
controlled maximum instability forces through the topology optimization approach. Then, the designed bistable
structures were programmed to construct the multistable mechanical metamaterials with different target
gradient snapping sequences and deformation models. Consequently, the simulation and experimental results
showed the feasibility of the design method, which successfully produced two- and three-dimensional
mechanical metamaterial structures with different functions. Finally, we verified the expected deformation
sequences and multistable behaviors of mechanical metamaterials by testing the designed specimens prepared
via additive manufacturing. Overall, our findings show that the proposed design strategy offers a new paradigm
for developing precisely tailored and programmable mechanical metamaterials.
Broadband Solar Metamaterial
Absorbers Empowered by
Transformer-Based Deep Learning
The research of metamaterial shows great potential in the field of solar energy harvesting. In the past decade,
the design of broadband solar metamaterial absorber (SMA) has attracted a surge of interest. The conventional
design typically requires brute-force optimizations with a huge sampling space of structure parameters. Very
recently, deep learning (DL) has provided a promising way in metamaterial design, but its application on SMA
development is barely reported due to the complicated features of broadband spectrum. Here, this work
develops the DL model based on metamaterial spectrum transformer (MST) for the powerful design of high-
performance SMAs. The MST divides the optical spectrum of metamaterial into N patches, which overcomes the
severe problem of overfitting in traditional DL and boosts the learning capability significantly. A flexible design
tool based on free customer definition is developed to facilitate the real-time on-demand design of
metamaterials with various optical functions. The scheme is applied to the design and fabrication of SMAs with
graded-refractive-index nanostructures. They demonstrate the high average absorptance of 94% in a broad
solar spectrum and exhibit exceptional advantages over many state-of-the-art counterparts. The outdoor
testing implies the high-efficiency energy collection of about 1061 kW h m−2 from solar radiation annually. This
work paves a way for the rapid smart design of SMA, and will also provide a real-time developing tool for many
other metamaterials and metadevices.
Multi Jet Fusion printed lattice
materials: characterization and
prediction of mechanical performance
Multi Jet Fusion (MJF) is a powder-bed fusion (PBF) additive manufacturing process that enables high-resolution, rapid fabrication of large-scale polymer parts. In particular, the MJF process enables
direct printing of structures without the need for support material, enabling complex geometries such as lattices and scaffolds to be manufactured with minimal post-processing.
The lattice structure
is a highly tunable geometry
that can form the stiff, strong backbone of larger-scale designs, facilitating time and material efficiency in the printing process compared to a solid body. While the
benefits of lattice-based designs produced with powder-bed fusion processes are clear, there currently exist few studies that empirically characterize the mechanical performance of lattices printed
using MJF. In this work, we treat each lattice as an assembly of components (beams and nodes), with each component defined by its nominal size and orientation. To study the effect of changing these
parameters on material properties, lattice unit cells of structural interest are modeled with their beam diameters, node sizes, and unit cell geometries varied. Specimens are printed using polyamide
(PA)-12 powder, then mechanically tested to determine strength and stiffness. The results are used to determine empirical fitting parameters to the Gibson–Ashby scaling model of lattices, previously
unapplied to MJF-printed structures. To further develop a model of the structure's geometry-dependent behavior, the varying failure modes of printed lattices are also characterized. The results of this
work provide a foundation for the design optimization of lattices printed using Multi Jet Fusion, in turn developing a fundamental model for a variety of large-scale printable structures.
Data-driven design of biometric
composite metamaterials with
extremely recoverable and ultrahigh
specific energy absorption
Abstract
The existing mechanical metamaterials are often designed with
periodic inter-connected structs with simple cylindrical
or uniform hierarchical geometries, which relies on their parent materials to either have a good mechanical
performance with low recoverability,
or
significantly sacrifices their mechanical performances to be highly
recoverable.
Biological fibrous structures are often evolved with a composition of different fibrous morphologies to possess a desired
balance of mechanical performances and recovery. In this study, we developed digital design algorithms to generate the
next-generation metamaterials with composite bio-inspired twisting fibrotic structs that are rubber-like recoverable
without significant scarification of their mechanical performances. A machine learning predictive model is trained based on
experimental data to reveal the resulted
specific energy absorption
(SEA) and SEA recoveries for such metamaterials with
complicated fiber-composition mechanisms. To further understand the fundamental structural recovery mechanisms of the
natural fibers, we derived the elastoplastic theories of the twisting fibrotic structs, and revealed that such structs possesses
a rubber-like fracture strain with significantly improved specific energy absorption. Our studies combined the structural
recovery mechanisms of the composite
natural fibrous structures and mechanical metamaterials, liberates the design
potential of materials with engineerable optimal balances of their mechanical performances and recoverability.
子主题
ML
ML-aided RGM deep search algorithm
is developed (Fig. 17). Within each
deep search cycle, 1000 random
percentages are generated, and the
ML prediction model
Knots are not for naught: Design,
properties, and topology of
hierarchical intertwined
microarchitected materials
Lightweight and tough engineered materials are often designed with three-dimensional hierarchy and interconnected structural members whose junctions are
detrimental to their performance because they serve as stress concentrations for damage accumulation and lower mechanical resilience. We introduce a previously
unexplored class of architected materials, whose components are interwoven and contain no junctions, and incorporate micro-knots as building blocks within
these hierarchical networks. Tensile experiments, which show close quantitative agreements with an analytical model for overhand knots, reveal that knot topology
allows a new regime of deformation capable of shape retention, leading to a ~92% increase in absorbed energy and an up to ~107% increase in failure strain
compared to woven structures, along with an up to ~11% increase in specific energy density compared to topologically similar monolithic lattices. Our exploration
unlocks knotting and frictional contact to create highly extensible low-density materials with tunable shape reconfiguration and energy absorption capabilities.
Ultralight and ultra-stiff nano-
cardboard panels: Mechanical analysis,
characterization, and design principles
We introduce a class of ultra-light and ultra-stiff sandwich panels designed for use in photophoretic levitation applications and investigate their mechanical behavior
using both computational analyses and micro-mechanical testing. The sandwich panels consist of two face sheets connected with a core that consists of hollow
cylindrical ligaments arranged in a honeycomb-based hexagonal pattern. Computational modeling shows that the panels have superior bending stiffness and
buckling resistance compared to similar panels with a basketweave core, and that their behavior is well described by Uflyand-Mindlin plate theory. By optimizing the
ratio of the face sheet thickness to the ligament wall thickness, panels maybe obtained that have a bending stiffness that is more than five orders of magnitude
larger than that of a solid plate with the same area density. Using a scalable microfabrication process, we demonstrate that panels as large as 3 × 3 cm2 with a
volumetric density of 20 kg/m3 and corresponding area density of 2 g/m2 can be made in a few hours. Micro-mechanical testing of the panels is performed by
deflecting microfabricated cantilevered panels using a nanoindenter. The experimentally measured bending stiffness of the cantilevered panels is in very good
agreement with the computational results, demonstrating exquisite control over the dimensions, form, and properties of the microfabricated panels.
Conformal Volumetric Grayscale
Metamaterials
Abstract
Conformal artificial electromagnetic media that feature tailorable responses as a function of incidence wavelength and angle represent
universal components for optical engineering. Conformal grayscale metamaterials are introduced as a new class of volumetric
electromagnetic media capable of supporting highly multiplexed responses and arbitrary, curvilinear form factors. Subwavelength-scale
voxels based on irregular shapes are designed to accommodate a continuum of dielectric values, enabling the freeform design process
to reliably converge to exceptionally high figures of merit (FOMs) for a given multi-objective design problem. Through additive
manufacturing of ceramic–polymer composites, microwave metamaterials, designed for the radio-frequency range of 8–12 GHz, are
experimentally fabricated and devices with extreme dispersion profiles, an airfoil-shaped beam-steering device, and a broadband,
broad-angle conformal carpet cloak, are demonstrated. It is anticipated that conformal volumetric metamaterials will lead to new
classes of compact and multifunctional imaging, sensing, and communications systems.
24 December 2022
Mechanical Properties of Cochiral and
Contrachiral Mechanical Metamaterials
Under Different Temperatures
Abstract
Cochiral and contrachiral mechanical metamaterials are designed by introducing
chiral cells with different handedness
to the center of the basic chiral cell. Both
single-material designs and multimaterial designs are explored. The designs are
fabricated via a multimaterial 3D printer, and uniaxial tension experiments are
performed in a thermal chamber at two different temperatures. For single-material
designs, either cochiral or contrachiral ones, the effective Poisson's ratio is
independent of temperature, while for their multimaterial counterparts, the effective
Poisson's ratio can change with temperature. It is found that the handedness of the
core chiral cell significantly influences the rotation efficiency and the effective
Poisson's ratio of the design, although it only slightly influences the effective
stiffness. Cochiral designs have higher rotation efficiency than the contrachiral
designs and therefore are more auxetic. While for the contrachiral designs, the
effective Poisson's ratio can be tuned in a wider range and the overall fracture strain
is higher.
0412
Auxetic Kirigami Metamaterials upon
Large Stretching
Mechanical properties of the
composite lattice structure with
variable density and multi-
configuration
Additively Manufactured Mechanical
Metamaterial-Based Pressure Sensor
with Tunable Sensing Properties for
Stance and Motion Analysis
Enhancing the Mechanical Properties
of Auxetic Metamaterials by
Incorporating Nonrectangular Cross
Sections into Their Component Rods:
A Finite Element Analysis
Thermomechanical buckling of
tubularly chiral thermo-metamaterials
This study aims to investigate the
buckling response under thermal and
mechanical excitations for the
tubularly
chiral thermo-metamaterials (TCTM).
The proposed TCTM are designed
using the material of thermoplastic
polymers into the structure of chiral
tubes. To characterize the
temperature-responsive of the
material, a
general theoretical model that can
predict the temperature-dependent
Young’s modulus and yield strength
is
utilized. The Young’s modulus and
Poisson’s ratio of the chiral tubes are
theoretically derived to indicate the
structural properties. The
superposition method is applied to
integrate the material and structural
properties to
model the equivalent material
properties of the TCTM. The
thermomechanical buckling response
of the TCTM is
theoretically analyzed using the
equivalent material properties. The
presented theoretical models are
validated
by comparing with the numerical
simulations and existed researches,
and the satisfactory consistencies are
observed. Parametric studies are
conducted to investigate the
controllability of the Young’s
modulus, Poisson’s
ratio and buckling performance of the
TCTM. The reported TCTM provide an
effective approach to obtain
highly maneuverable,
thermomechanical response, which
can be used to design advanced
thermomechanical
devices such as temperature warning
The shell microstructure of the
pteropod Creseis acicula is composed
of nested arrays of S-shaped aragonite
fibers: A unique biological material
Soft Adaptive Mechanical Metamaterials
5.1
Twisting for soft intelligent autonomous
robot in unstructured environments
子主题
Environment-responsive soft robots
constructed from twisted LCE ribbons with
a stra
Dragonfly-Inspired Wing Design Enabled by
Machine Learning and Maxwell's Reciprocal
Diagrams
5.18
Insect-scale jumping robots enabled by a
dynamic buckling cascade
A New Phenomenological Model for the
Crushing Failure Mechanism Lattice
Structures
Created With
MindMaster